Solutions
Industrial embedded and edge systems for reliable field data
Edge systems run close to your equipment to ensure data is captured reliably, processed locally when needed, and delivered securely—even when the network is slow, intermittent, or unavailable.
Photo by Robin Glauser on Unsplash
The problem
Sending every raw sensor reading directly to the cloud fails in real industrial environments. Networks drop. Latency spikes. Bandwidth is expensive at remote sites. And some reactions—shutting down a pump, triggering a local alarm—cannot wait for a round trip to the cloud.
Consumer-grade gateways and DIY Raspberry Pi setups often lack industrial I/O, proper isolation, firmware update paths, and the reliability expected on a production floor.
Embedded and edge systems sit between sensors and the cloud: they filter noise, buffer offline data, enforce local rules, and transmit only what matters. That makes the entire monitoring stack more resilient.
How we solve it
We configure and develop edge hardware matched to your signal types and environment—analog inputs, digital I/O, serial ports, and industrial protocol support. Firmware handles sampling rates, edge analytics, and store-and-forward synchronization.
Local alarms and simple actions run deterministically on the edge device. Cloud connectivity adds dashboards, history, and remote configuration—but the site keeps running when the link is down.
Security is built in: TLS transport, device identity, signed firmware updates, and network segmentation guidance for your IT team.
- Industrial-grade edge devices with appropriate I/O and enclosure ratings
- On-site preprocessing, filtering, aggregation, and buffering
- Secure transport with retry logic and offline synchronization
- Deterministic local alarms and permitted control actions
How we deliver it
Every engagement follows a clear path from first conversation to ongoing support—so you know what happens at each stage.
- 01
Consulting & scoping
We map your assets, failure modes, connectivity constraints, and the decisions your team needs to make. The output is a focused pilot scope—not a vague platform proposal.
- 02
Development & integration
We design sensors, edge logic, and cloud pipelines around your environment. Integration with existing PLC, SCADA, or legacy interfaces is planned from the start when needed.
- 03
Deployment & validation
Hardware is installed with minimal production disruption. We validate data quality, alert thresholds, and dashboards with your operators and maintenance team on real equipment.
- 04
Support & expansion
After go-live we tune alerts, add assets incrementally, and document what worked. You retain full control of your data and infrastructure.
Technical stack
We select hardware and software based on your environment—not a fixed vendor list. Typical components include:
- Platforms: ARM-based industrial gateways, ESP32/ESP32-S3 for constrained nodes, embedded Linux SBCs
- I/O: 4–20 mA, 0–10 V, RTD, thermocouple, pulse counting, relay outputs
- Protocols: Modbus RTU/TCP, CAN, BACnet MS/TP, MQTT, OPC-UA client
- Firmware: OTA updates, watchdog timers, structured logging, edge ML for anomaly scoring
- Security: X.509 device certificates, Azure IoT Device Provisioning Service, VPN or private APN options
Related capabilities
Frequently asked questions
- What is the difference between embedded and edge in industrial IoT?
- Embedded usually means firmware running directly on a dedicated device or sensor node. Edge typically means a gateway aggregating multiple sources before cloud upload. We use both—embedded nodes for distributed sensing and edge gateways for consolidation.
- How much data can edge devices buffer offline?
- Depends on storage and sampling rate. Typical gateways buffer days to weeks of aggregated data. We size storage during design so normal outages do not cause gaps in your history.
- Can edge systems run without cloud connectivity permanently?
- Yes, for local monitoring and alarms. Cloud adds remote visibility and central history. Some customers use edge-only deployments in air-gapped zones with periodic manual export.
- Do you support LoRaWAN and NB-IoT edge nodes?
- Yes. Low-power wide-area options suit battery-powered or widely distributed sensors. We match radio technology to range, data rate, and power constraints.
Tell us what you need to monitor, collect, or control
Whether you need early warning before failure, better process visibility, a custom device, or a cloud platform built around your workflow, we can help define the right scope.
Technical question?
Ask about sensors, integration, or deployment. We'll get back to you shortly.